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Dolan, Conor V.; van der Maas, Han L. J. – Psychometrika, 1998
Discusses fitting multivariate normal mixture distributions to structural equation modeling. The model used is a LISREL submodel that includes confirmatory factor and structural equation models. Two approaches to maximum likelihood estimation are used. A simulation study compares confidence intervals based on the observed information and…
Descriptors: Goodness of Fit, Maximum Likelihood Statistics, Multivariate Analysis, Simulation

Nevitt, Jonathan; Hancock, Gregory R. – Journal of Experimental Education, 2000
Studied incorporating adjusted model fit information into the root mean square error of approximation fit index (RMSEA). Monte Carlo simulation results show that incorporating robust information into the RMSEA may yield improved performance for assessing model fit under nonnormal data situations. (SLD)
Descriptors: Error of Measurement, Goodness of Fit, Monte Carlo Methods, Structural Equation Models

Neuman, George A.; Bolin, Aaron U.; Briggs, Thomas E. – Educational and Psychological Measurement, 2000
Tested J. Gustafsson's second-order factor model of intelligence (1984) through structural equation modeling using the Ball Aptitude Battery (BAB). Results for 1,390 adults and high school seniors indicate that the factor structure of the BAB is consistent with Gustafsson's model. (SLD)
Descriptors: Adults, High School Students, High Schools, Intelligence

Fan, Xitao – Journal of Experimental Education, 2001
Studied the effects of parental involvement on students' academic growth during high school using data from the National Education Longitudinal Study of 1988 with latent growth curve analysis in the framework of structural equation modeling. Discusses the ways in which parental involvement was found to be multidimensional. (SLD)
Descriptors: Academic Achievement, High School Students, High Schools, Parent Participation

Diseth, Age – Scandinavian Journal of Educational Research, 2001
Administered the Approaches and Study Skills Inventory for Students (ASSIST) (N. Entwhistle and P. Ramsden, 1983) to 573 undergraduates to analyze a Norwegian version of this inventory. Structural equation modeling techniques reveal the usefulness of this instrument as a research took for the assessment of approaches to learning among Norwegian…
Descriptors: Foreign Countries, Learning Strategies, Structural Equation Models, Study Skills

Lee, Sik-Yum; Song, Xin-Yuan – Multivariate Behavioral Research, 2001
Demonstrates the use of the well-known Bayes factor in the Bayesian literature for hypothesis testing and model comparison in general two-level structural equation models. Shows that the proposed method is flexible and can be applied to situations with a wide variety of nonnested models. (SLD)
Descriptors: Bayesian Statistics, Comparative Analysis, Goodness of Fit, Hypothesis Testing

Linares, L. Oriana; Heeren, Timothy; Bronfman, Elisa – Child Development, 2001
Structural equation modeling was used to examine how maternal distress mediated the link between exposure to community violence (CV) and development of early child behavior problems. Findings indicated that direct CV-early child behavior problems path diminished when maternal distress was included in the model, after controlling for maternal SES…
Descriptors: Behavior Problems, Models, Mothers, Parent Influence
Cerutti, D. T.; Staddon, J. E. R. – Journal of the Experimental Analysis of Behavior, 2004
Three experiments with pigeons studied the relation between time and rate measures of behavior under conditions of changing preference. Experiment 1 studied a concurrent chain schedule with random-interval initial links and fixed-interval terminal links; Experiment 2 studied a multiple chained random-interval fixed-interval schedule; and…
Descriptors: Intervals, Measurement, Experiments, Reinforcement

Cramond, Bonnie; Matthews-Morgan, Juanita; Bandalos, Deborah; Zuo, Li – Gifted Child Quarterly, 2005
This article updates information about the Torrance Tests of Creative Thinking (TTCT) by reporting on predictive validity data from the most recent data collection point in Torrance's longitudinal studies. First, we outline the background of the tests and changes in scoring over the years. Then, we detail the results of the analyses of the 40-year…
Descriptors: Predictive Validity, Longitudinal Studies, Creative Thinking, Tests

Yeh, Hsiu-Chen; Lempers, Jacques D. – Journal of Youth and Adolescence, 2004
Utilizing longitudinal, 3-wave data collected from multiple informants (fathers, mothers, and target children) in 374 families, the potential effects of sibling relationships on adolescent development across early and middle adolescence were investigated. Adolescents who perceived their sibling relationships more positively at Time 1 tended to…
Descriptors: Adolescents, Structural Equation Models, Siblings, Friendship
Cheung, Mike W. L.; Chan, Wai – Psychological Methods, 2005
To synthesize studies that use structural equation modeling (SEM), researchers usually use Pearson correlations (univariate r), Fisher z scores (univariate z), or generalized least squares (GLS) to combine the correlation matrices. The pooled correlation matrix is then analyzed by the use of SEM. Questionable inferences may occur for these ad hoc…
Descriptors: Inferences, Meta Analysis, Least Squares Statistics, Structural Equation Models
Huth-Bocks, Alissa C.; Levendosky, Alytia A.; Bogat, G. Anne; von Eye, Alexander – Child Development, 2004
This prospective study examined the effects of maternal characteristics, social support, and risk factors on infant-mother attachment in a heterogeneous sample. Two hundred and six women between the ages of 18 and 40 were interviewed during their last trimester of pregnancy and 1 year postpartum. Structural equation modeling revealed that maternal…
Descriptors: Infants, Females, Structural Equation Models, Risk
Gionta, Dana A.; Harlow, Lisa L.; Loitman, Jane E.; Leeman, Joanne M. – Structural Equation Modeling, 2005
Three structural equation models of communication between family members and medical staff were examined to understand relations among staff accessibility, inhibitory family attitudes, getting communication needs met, perceived stress, and satisfaction with communication. Compared to full and direct models, a mediational model fit best in which…
Descriptors: Patients, Family Attitudes, Family Needs, Structural Equation Models
Sang-Keun, Shin – Language Testing, 2005
This study investigated the relationship between examinee proficiency and the structure of the Test of English as a Foreign Language (TOEFL) and the Speaking Proficiency in English Assessment Kit (SPEAK). Specifically, using multi-group structural equation modeling, this study tested two competing hypotheses about the relationship: whether or not…
Descriptors: Models, Language Proficiency, Language Tests, Language Aptitude
Hazlett-Stevens, Holly; Ullman, Jodie B.; Craske, Michelle G. – Assessment, 2004
The Penn State Worry Questionnaire (PSWQ) was originally designed as a unifactorial measure of pathological trait worry. However, recent studies supported a two-factor solution with positively worded items loading on the first factor and reverse-scored items loading on a second factor. The current study compared this two-factor model to a negative…
Descriptors: Measures (Individuals), Psychometrics, Factor Structure, Questionnaires